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The Semantics of Negation Detection in Archaeological Grey Literature

Vlachidis, A; Tudhope, D; (2013) The Semantics of Negation Detection in Archaeological Grey Literature. In: Garoufallou, E and Greenberg, J, (eds.) Proceedings of the 7th International Conference on Metadata and Semantics Research (MTSR). (pp. pp. 188-200). Springer International Publishing: Cham, Switzerland. Green open access

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Abstract

Archaeological reports contain a great deal of information that conveys facts and findings in different ways. This kind of information is highly relevant to the research and analysis of archaeological evidence but at the same time can be a hindrance for the accurate indexing of documents with respect to positive assertions. The paper presents a method for adapting the biomedicine oriented negation algorithm NegEx to the context of archaeology and discusses the evaluation results of the new modified negation detection module. The performance of the module is compared against a “Gold Standard” and evaluation results are encouraging, delivering overall 89% Precision, 80% Recall and 83% F-Measure scores. The paper addresses limitations and future improvements of the current work and highlights the need for ontological modelling to accommodate negative assertions. It concludes that adaptation of the NegEx algorithm to the archaeology domain is feasible and that rule-based information extraction techniques are capable of identifying a large portion of negated phrases from archaeological grey literature.

Type: Proceedings paper
Title: The Semantics of Negation Detection in Archaeological Grey Literature
Event: MSTR 2013, 7th Research Conference on Metadata and Semantics Research (MTSR), 19-22 November 2013, Thessaloniki, Greece
Location: Alexander Technol Educ Inst Thessaloniki, Thessaloniki, GREECE
Dates: 19 November 2013 - 22 November 2013
ISBN-13: 9783319034362
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-319-03437-9_20
Publisher version: https://doi.org/10.1007/978-3-319-03437-9_20
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Negation Detection, Semantic Technologies, Digital Humanities, CIDOC-CRM, Semantic Annotation, Natural Language Processing
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities > Dept of Information Studies
URI: https://discovery.ucl.ac.uk/id/eprint/1556222
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